Air voids measurement on asphalt mixes section surface based on image analysis
Asphalt concrete is a porous and no uniform material; air void always plays an important role in asphalt concrete quality control. This study describes a new analytical method to quantify the air voids on section surface of asphalt mixes based on image analysis. This study establish a credible relat...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 4-302 |
---|---|
container_issue | |
container_start_page | 4-296 |
container_title | |
container_volume | |
creator | Yang Hao Yuan Hai-Wen Liu Yuan-Quan Zhang Hai-Xia Zhang Lei |
description | Asphalt concrete is a porous and no uniform material; air void always plays an important role in asphalt concrete quality control. This study describes a new analytical method to quantify the air voids on section surface of asphalt mixes based on image analysis. This study establish a credible relationship of natural logarithmic between the micro index from this new measurement and traditional macro index of air voids and put forward a uniform method which can predict the percent air voids being suitable to various aggregates of asphalt concrete and easy to promote based on image analysis. This study also established a system approach to analyze the image features of air voids and defined the composition of the air voids features which are geometry, gray-scale and spatial distribution features. These image features of air voids can establish a quantized correlation with percent air voids or other macro index and can explain the phenomenon that some macro index conflict each other. It is necessary to study further into the micro level of air void properties; the image analysis technique provided in this paper will be a powerful too to study the features of air voids. |
doi_str_mv | 10.1109/ICEMI.2009.5274050 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5274050</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5274050</ieee_id><sourcerecordid>5274050</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-6c01ecb4612b4b94347d2ac3c742af52546ee4e1a97600d76742cc318e21784d3</originalsourceid><addsrcrecordid>eNpFkMFKw0AQhlekoK19Ab3sCyTO7s5usscSqg1UvfReNpuJriRpyUaxb2-KBefyMx8fw_Azdi8gFQLsY1msX8pUAthUywxBwxWbC5SIKjcI1_-LkjM2P4sWQAt9w5YxfsI0qJXWeMteV2Hg34dQR96Ri18DddSP_NBzF48frh15F34o8kh-DBOdjMZ54pWLVJ-10Ll34q537SmGeMdmjWsjLS-5YLun9a7YJNu357JYbZNgYUyMB0G-QiNkhZVFhVktnVc-Q-kaLTUaIiThbGYA6sxM3HslcpIiy7FWC_bwdzYQ0f44TE8Mp_2lC_ULSFdQbA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Air voids measurement on asphalt mixes section surface based on image analysis</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Yang Hao ; Yuan Hai-Wen ; Liu Yuan-Quan ; Zhang Hai-Xia ; Zhang Lei</creator><creatorcontrib>Yang Hao ; Yuan Hai-Wen ; Liu Yuan-Quan ; Zhang Hai-Xia ; Zhang Lei</creatorcontrib><description>Asphalt concrete is a porous and no uniform material; air void always plays an important role in asphalt concrete quality control. This study describes a new analytical method to quantify the air voids on section surface of asphalt mixes based on image analysis. This study establish a credible relationship of natural logarithmic between the micro index from this new measurement and traditional macro index of air voids and put forward a uniform method which can predict the percent air voids being suitable to various aggregates of asphalt concrete and easy to promote based on image analysis. This study also established a system approach to analyze the image features of air voids and defined the composition of the air voids features which are geometry, gray-scale and spatial distribution features. These image features of air voids can establish a quantized correlation with percent air voids or other macro index and can explain the phenomenon that some macro index conflict each other. It is necessary to study further into the micro level of air void properties; the image analysis technique provided in this paper will be a powerful too to study the features of air voids.</description><identifier>ISBN: 1424438632</identifier><identifier>ISBN: 9781424438631</identifier><identifier>EISBN: 1424438640</identifier><identifier>EISBN: 9781424438648</identifier><identifier>DOI: 10.1109/ICEMI.2009.5274050</identifier><identifier>LCCN: 2009900515</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aggregates ; Air Voids ; Asphalt ; Asphalt mixes ; Building materials ; Concrete ; Extraterrestrial measurements ; Geometry ; Gray-scale ; Image analysis ; Road transportation ; X-ray tomography</subject><ispartof>2009 9th International Conference on Electronic Measurement & Instruments, 2009, p.4-296-4-302</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5274050$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5274050$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yang Hao</creatorcontrib><creatorcontrib>Yuan Hai-Wen</creatorcontrib><creatorcontrib>Liu Yuan-Quan</creatorcontrib><creatorcontrib>Zhang Hai-Xia</creatorcontrib><creatorcontrib>Zhang Lei</creatorcontrib><title>Air voids measurement on asphalt mixes section surface based on image analysis</title><title>2009 9th International Conference on Electronic Measurement & Instruments</title><addtitle>ICEMI</addtitle><description>Asphalt concrete is a porous and no uniform material; air void always plays an important role in asphalt concrete quality control. This study describes a new analytical method to quantify the air voids on section surface of asphalt mixes based on image analysis. This study establish a credible relationship of natural logarithmic between the micro index from this new measurement and traditional macro index of air voids and put forward a uniform method which can predict the percent air voids being suitable to various aggregates of asphalt concrete and easy to promote based on image analysis. This study also established a system approach to analyze the image features of air voids and defined the composition of the air voids features which are geometry, gray-scale and spatial distribution features. These image features of air voids can establish a quantized correlation with percent air voids or other macro index and can explain the phenomenon that some macro index conflict each other. It is necessary to study further into the micro level of air void properties; the image analysis technique provided in this paper will be a powerful too to study the features of air voids.</description><subject>Aggregates</subject><subject>Air Voids</subject><subject>Asphalt</subject><subject>Asphalt mixes</subject><subject>Building materials</subject><subject>Concrete</subject><subject>Extraterrestrial measurements</subject><subject>Geometry</subject><subject>Gray-scale</subject><subject>Image analysis</subject><subject>Road transportation</subject><subject>X-ray tomography</subject><isbn>1424438632</isbn><isbn>9781424438631</isbn><isbn>1424438640</isbn><isbn>9781424438648</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkMFKw0AQhlekoK19Ab3sCyTO7s5usscSqg1UvfReNpuJriRpyUaxb2-KBefyMx8fw_Azdi8gFQLsY1msX8pUAthUywxBwxWbC5SIKjcI1_-LkjM2P4sWQAt9w5YxfsI0qJXWeMteV2Hg34dQR96Ri18DddSP_NBzF48frh15F34o8kh-DBOdjMZ54pWLVJ-10Ll34q537SmGeMdmjWsjLS-5YLun9a7YJNu357JYbZNgYUyMB0G-QiNkhZVFhVktnVc-Q-kaLTUaIiThbGYA6sxM3HslcpIiy7FWC_bwdzYQ0f44TE8Mp_2lC_ULSFdQbA</recordid><startdate>200908</startdate><enddate>200908</enddate><creator>Yang Hao</creator><creator>Yuan Hai-Wen</creator><creator>Liu Yuan-Quan</creator><creator>Zhang Hai-Xia</creator><creator>Zhang Lei</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200908</creationdate><title>Air voids measurement on asphalt mixes section surface based on image analysis</title><author>Yang Hao ; Yuan Hai-Wen ; Liu Yuan-Quan ; Zhang Hai-Xia ; Zhang Lei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-6c01ecb4612b4b94347d2ac3c742af52546ee4e1a97600d76742cc318e21784d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Aggregates</topic><topic>Air Voids</topic><topic>Asphalt</topic><topic>Asphalt mixes</topic><topic>Building materials</topic><topic>Concrete</topic><topic>Extraterrestrial measurements</topic><topic>Geometry</topic><topic>Gray-scale</topic><topic>Image analysis</topic><topic>Road transportation</topic><topic>X-ray tomography</topic><toplevel>online_resources</toplevel><creatorcontrib>Yang Hao</creatorcontrib><creatorcontrib>Yuan Hai-Wen</creatorcontrib><creatorcontrib>Liu Yuan-Quan</creatorcontrib><creatorcontrib>Zhang Hai-Xia</creatorcontrib><creatorcontrib>Zhang Lei</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yang Hao</au><au>Yuan Hai-Wen</au><au>Liu Yuan-Quan</au><au>Zhang Hai-Xia</au><au>Zhang Lei</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Air voids measurement on asphalt mixes section surface based on image analysis</atitle><btitle>2009 9th International Conference on Electronic Measurement & Instruments</btitle><stitle>ICEMI</stitle><date>2009-08</date><risdate>2009</risdate><spage>4-296</spage><epage>4-302</epage><pages>4-296-4-302</pages><isbn>1424438632</isbn><isbn>9781424438631</isbn><eisbn>1424438640</eisbn><eisbn>9781424438648</eisbn><abstract>Asphalt concrete is a porous and no uniform material; air void always plays an important role in asphalt concrete quality control. This study describes a new analytical method to quantify the air voids on section surface of asphalt mixes based on image analysis. This study establish a credible relationship of natural logarithmic between the micro index from this new measurement and traditional macro index of air voids and put forward a uniform method which can predict the percent air voids being suitable to various aggregates of asphalt concrete and easy to promote based on image analysis. This study also established a system approach to analyze the image features of air voids and defined the composition of the air voids features which are geometry, gray-scale and spatial distribution features. These image features of air voids can establish a quantized correlation with percent air voids or other macro index and can explain the phenomenon that some macro index conflict each other. It is necessary to study further into the micro level of air void properties; the image analysis technique provided in this paper will be a powerful too to study the features of air voids.</abstract><pub>IEEE</pub><doi>10.1109/ICEMI.2009.5274050</doi></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 1424438632 |
ispartof | 2009 9th International Conference on Electronic Measurement & Instruments, 2009, p.4-296-4-302 |
issn | |
language | eng |
recordid | cdi_ieee_primary_5274050 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Aggregates Air Voids Asphalt Asphalt mixes Building materials Concrete Extraterrestrial measurements Geometry Gray-scale Image analysis Road transportation X-ray tomography |
title | Air voids measurement on asphalt mixes section surface based on image analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T16%3A09%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Air%20voids%20measurement%20on%20asphalt%20mixes%20section%20surface%20based%20on%20image%20analysis&rft.btitle=2009%209th%20International%20Conference%20on%20Electronic%20Measurement%20&%20Instruments&rft.au=Yang%20Hao&rft.date=2009-08&rft.spage=4-296&rft.epage=4-302&rft.pages=4-296-4-302&rft.isbn=1424438632&rft.isbn_list=9781424438631&rft_id=info:doi/10.1109/ICEMI.2009.5274050&rft_dat=%3Cieee_6IE%3E5274050%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424438640&rft.eisbn_list=9781424438648&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5274050&rfr_iscdi=true |